PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-03-27 10:20:17.927467+00:00 (UTC)
In US/Central Time, this is 2024-03-27 05:20:17.927467-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/c847a77caf1b9eb9b43807a7a6c87ff5b9e301177b02dad5e9629aa18311e399.png
We are just generating a random time serie here.
import pandas as pd
pd.DataFrame({'1': [1, 2, 3, 4, 1, 2, 3, 4]}).plot(title='Shakepeare')
<Axes: title={'center': 'Shakepeare'}>
../_images/92a49538e66116fefe18b9bfe24e3a4ef066c1141b70113e35f963f028b113b4.png
../_images/c36c7ca0ff9e8b5af228befd8b0a011c349b24367168726fd18a5ccda936ea09.png
../_images/90fe1ba37319dd8dcaafbeb21c19468699a9449236f9c520f045c8565820b356.png